> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Basic Reasoning Agent

> Equip agents with chain-of-thought reasoning capabilities.

Setting `reasoning=True` makes the agent reason through the task before returning its response.

**1. Add the following code to your Python file**

```python basic_cot.py theme={null}
from agno.agent import Agent
from agno.models.openai import OpenAIChat

task = (
    "Analyze the key factors that led to the signing of the Treaty of Versailles in 1919. "
    "Discuss the political, economic, and social impacts of the treaty on Germany and how it "
    "contributed to the onset of World War II. Provide a nuanced assessment that includes "
    "multiple historical perspectives."
)

reasoning_agent = Agent(
    model=OpenAIChat(id="gpt-4o"),
    reasoning=True, # The Agent will be able to reason.
    markdown=True,
)
reasoning_agent.print_response(task, stream=True, show_full_reasoning=True)
```

<Snippet file="create-venv-step.mdx" />

**2. Install dependencies**

```bash theme={null}
uv pip install -U openai agno
```

**3. Export your OpenAI API key**

```bash Mac/Linux theme={null}
  export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
  $Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**4. Run Agent**

```bash theme={null}
python basic_cot.py
```


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